Creative Model of Community Public Health Service Based on Power Big Data

Zeyang Tang, Yibo Cui, Jie Xing, Jie Huang, Jing Jin, Yu-Tao Tang, Feng Wu
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Abstract

The traditional community public health service faces the problems of various work categories, intensive workload, untimely service, and memory offset, etc. There are rich application scenarios for power big data, which has the advantages of timely, accurate, effective and privacy protection of public health services such as indoor activities and health protection. The framework of public health service model based on power big data was described from the topics of epidemic normalization prevention and control, analysis of home status of home health observers, care for the elderly living alone and the disabled people, and people staying up late. Through power big data analysis, models can be established to analyze the characteristics of residents' indoor activity consumption, to provide data basis for the development of public health related work and improve the accuracy and efficiency of public health services. Therefore, the application of power big data in public health related fields of disease control should be explored and deepened.
基于电力大数据的社区公共卫生服务创新模式
传统社区公共卫生服务面临着工作种类多、工作量大、服务不及时、内存偏移等问题。电力大数据应用场景丰富,对室内活动、健康防护等公共卫生服务具有及时、准确、有效、隐私保护的优势。从疫情常态化防控、居家卫生观察员居家状况分析、独居老人和残疾人护理、夜猫子等主题描述了基于电力大数据的公共卫生服务模式框架。通过电力大数据分析,建立模型,分析居民室内活动消费特征,为开展公共卫生相关工作提供数据依据,提高公共卫生服务的准确性和效率。因此,应探索和深化电力大数据在公共卫生相关疾病控制领域的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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